Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Fortaleza, Ceará, Brazil
R
BRL 234K-295K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling Star Schema
- Build data ingestion transformations loading processes
- Collaborate on logical and physical data models
- Design ETL/ELT pipelines
- Develop Snowflake databases schemas tables views
- Implement Snowflake streams tasks stages Snowpipe
- Implement data quality monitoring validation
- Ingest data from REST APIs relational databases SaaS flat files
- Integrate Snowflake with Azure services
- Maintain documentation for pipelines and data models
- Monitor pipelines diagnose performance issues
- Optimize Snowflake workloads and SQL queries
- Participate in CI CD using Git
- Support data governance and security compliance
Perks/Benefits
- Company-sponsored certifications
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data Security | Dimensional Modeling | Git | Infrastructure as Code | Key Vault | Performance Tuning | PySpark | Python | REST APIs | SQL | STAGES | Snowflake | Snowpipe | Star Schema | Streams | Tasks | Terraform | Time Travel | Virtual Warehouses | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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